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Remote Data Engineer Jobs (NOW HIRING)

Prestige Staffing

Data Engineer

Charlotte, NC · Remote

$106K - $128K/yr

Title: Data Engineer Pay: 50/hr W2 Duration: 4-6 month contract Location: 100% Remote Summary We are seeking a skilled and proactive Data Engineer to join a dynamic team working on building and ...

Nava Software Solutions

Sr. Big Data Engineer - Remote

$57 - $75.50/hr

NAVA Software solutions is looking for a Sr. Big Data Engineer Details: Sr. Big Data Engineer Duration: 6-12 months Location: Remote project Client is looking for a Big Data Engineer having ...

V4C.ai

Data Engineer

$117K - $140K/yr

Position Overview V4C.ai is seeking a motivated Data Engineer to join our remote team in the United States. In this role, you will support the design, development, and maintenance of data solutions ...

Lorven Technologies

Data Engineer

$117K - $140K/yr

Hi, Our client is looking for a Data Engineer for Remote below is the detailed requirement. Job Title: Data Engineer Location: Remote Role * Bachelor's degree in related field. * Hands-on experience ...

Changeis

Data Engineer

$117K - $140K/yr

Data Engineer (Remote - Federal Contract Opportunity) We are seeking a Data Engineer to support U.S. Federal clients in designing, building, and maintaining scalable data solutions. This role focuses ...

Noblesoft Technologies

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:

Data Ideology LLC

Data Engineer

Pittsburgh, PA · On-site +1

$111K - $133K/yr

Data Engineer will leverage their business and technical knowledge to develop production-ready data ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Noblesoft Technologies

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Location: Remote Project Duration: 6-12 months Responsibilities: * Analysis, design, coding, performance tuning, and implementation of new data warehousing solutions. * Evaluation ...

Navtech, Inc.

URGENT NEED - Data Engineer ___ REMOTE

$117K - $140K/yr

I have an opportunity for " Data Engineer ___ REMOTE" and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated resume or if you could refer ...

Intellisoft Technologies

Data Engineer

$58/hr

Remote Duration: 6+ Months Client: National Grid - Boston Visa Restrictions: None Sub Vending: No Pay Rate: $58/Hr on W2 without benefits Bill Rate: $80 Candidate must have a Public Profile. 100 ...

Sentara Healthcare

Data Engineer - Remote

Virginia Beach, VA · On-site +1

$108K - $130K/yr

Sentara is hiring a Data Engineer! This is a fully remote position. Work Location: Remote opportunities available in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas ...

Changeis

Data Engineer

$117K - $140K/yr

Most of our positions are remote, providing flexibility while working on impactful federal projects. Key Skills amp; Qualifications We're Looking For: * Data Engineering amp; ETL: Experience ...

Apex Informatics

DATA ENGINEER

$117K - $140K/yr

Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads complex data engineering ...

Apex Informatics

Data Engineer

$117K - $140K/yr

Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads complex data engineering ...

Cutsforth, Inc

Data Engineer

Ferndale, WA · On-site +1

$84K - $117K/yr

Data Engineer * Work Location ... Fully remote position, home office * Employment Type: Full-time * Employment Status: Exempt ...

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All JobsRemote Data Engineer Jobs

Remote Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do remote data engineer jobs pay per year?

As of Jul 6, 2026, the average yearly pay for remote data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What are the key skills and qualifications needed to thrive as a Remote Data Engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.
More about Remote Data Engineer jobs
What cities are hiring for Remote Data Engineer jobs? Cities with the most Remote Data Engineer job openings:
What are the most commonly searched types of Data Engineer jobs? The most popular types of Data Engineer jobs are:
What states have the most Remote Data Engineer jobs? States with the most job openings for Remote Data Engineer jobs include:
What job categories do people searching Remote Data Engineer jobs look for? The top searched job categories for Remote Data Engineer jobs are:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Prestige Staffing

Charlotte, NC • Remote

$106K - $128K/yr

Contractor

Posted 3 days ago

Job description

Title: Data Engineer
Pay: 50/hr W2
Duration: 4-6 month contract
Location: 100% Remote

Summary
We are seeking a skilled and proactive Data Engineer to join a dynamic team working on building and maintaining robust data pipelines and infrastructure.

Requirements

  • Minimum of 3+ years of experience in data pipeline development and data platform design
  • Strong expertise in ETL/ELT workflows and distributed data processing frameworks
  • Proficiency with cloud platforms such as Azure, AWS, or GCP
  • Advanced skills in Python, SQL, and data engineering tools

Responsibilities

  • Design and implement scalable data pipelines for ingesting customer and operational data from various sources
  • Integrate data from APIs, industrial systems, IoT devices, databases, and third-party platforms
  • Ensure data quality, reliability, and observability through monitoring and maintenance
  • Support analytics, AI, and application teams with trusted data sets
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